Exact(9)
This is deemed as the most objective and rigorous mode of evaluation wherein one dataset sequence is singled out for testing, while the rest are used to generate the model.
This is considered as the most objective and rigorous mode of evaluation wherein one dataset sequence is kept for testing, while the rest are used to train the model/NN.
A sequence-based method is often designed on a benchmark dataset, sequence features such as amino acid composition [19], pseudo amino acid [20] (PseAAC), are used to represent the data (e.g. protein sequence), then a prediction model can be built according to the machine learning algorithm (e.g. nearest neighbor algorithm).
In the first method, the jackknife test is a CV technique in which one dataset sequence is used as a testing data (for validation of the generated model) while the remaining dataset sequences are used as the training data to develop a model.
If a membrane dataset sequence overlapped a Clamp-sequence it inherited its class.
sequences" gives total number of unique sequences in this dataset; "Sequence type" gives the sequence type used (UTR or cDNA); "No.
Similar(51)
For the three-gene dataset, sequences of the three DNA fragments were concatenated with SequenceMatrix v1.7.853.
For each single-gene dataset, sequences were aligned using mafft v7.12751 and then manually adjusted in 4SALE52.
The first Illumina dataset sequenced various PCR fragments from the human genome, the second Illumina dataset sequenced random fragments from a normal human genome, and the two ABI Solid datasets sequenced human genomic DNA.
To simplify the dataset, Sequences which under the same miRNA name was classified as one miRNA species.
The first hybrid-SVM model (hybrid-1) was developed using AAC and DPC features of the training dataset sequences.
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